Google has made a bold claim that is already circulating in marketing circles: you don't need to practise AEO or GEO specifically to appear in AI Overviews. According to reporting in Search Engine Watch, Google's position is that strong, quality-focused SEO is sufficient. No specialist discipline required.
That will be a relief to some marketers and frustrating to others who have already invested time and budget building out GEO programmes. But before anyone cancels their AI visibility work, it is worth pulling the claim apart. What Google says it uses to rank content in AI Overviews, and what actually determines whether your brand gets cited, are not necessarily the same thing.
What Google Is Actually Saying
Google's position appears to be that AI Overviews draw from the same signals that determine organic search performance. Content quality, topical authority, E-E-A-T, and relevance to the query. If those are in good shape, the argument goes, you don't need a separate GEO strategy layered on top.
This is a defensible starting point. AI Overviews are, after all, a Google product. They are built on Google's index. It follows that content Google already rates highly is more likely to surface there. In that narrow sense, Google is not wrong.
Where it gets complicated is the word 'need'. You don't need specialist GEO practices to appear in AI Overviews - but you may need them to appear consistently, for competitive queries, or in ways that actually represent your brand accurately. Presence and meaningful presence are different outcomes.
The Problem with Treating AI Overviews Like Standard SEO
Standard SEO produces a ranked list of links. AI Overviews produce a synthesised answer. That difference matters enormously for brands. A page can rank in position three for a query and contribute nothing to the AI Overview answer. Equally, a page that ranks lower can be the primary source cited if it contains the clearest, most directly answerable content.
GEO and AEO practices - structuring content to answer specific questions clearly, using schema to signal context, building entity associations - are not about gaming a separate algorithm. They are about making content easier for generative systems to extract and synthesise accurately. That is a different optimisation goal to ranking a URL.
Brands that conflate the two risk assuming that good organic performance automatically translates to good AI visibility. For high-volume informational queries, that may hold. For specific, competitive, or nuanced queries where the AI Overview is doing real synthesis work, it often does not.
Why This Matters Even More Outside Google's Ecosystem
Google's claim applies specifically to Google AI Overviews. It says nothing about ChatGPT, Perplexity, or Gemini - systems that operate on very different indexing and retrieval approaches. A brand can follow Google's SEO guidance to the letter and still be invisible or misrepresented in responses from other AI platforms.
This is the core gap in the 'you don't need GEO' argument. It is Google-centric by design. For brands where a meaningful portion of discovery is now happening through non-Google AI tools - and that portion is growing - treating AI visibility as a single, SEO-solvable problem will produce gaps.
Practical AI visibility work considers the full set of surfaces where your brand might be cited, compared, or recommended. That includes optimising for how third-party AI systems retrieve and interpret content about you - which may involve different signals to what Google's quality raters are looking for.
What Good AI Visibility Work Actually Looks Like
If you accept Google's framing - that strong fundamentals get you into AI Overviews - the logical implication is that weak SEO will definitely keep you out. So the first priority is correct regardless: technical hygiene, content quality, genuine topical authority, and a clear E-E-A-T signal. None of that is wasted effort.
What GEO-specific work adds is precision. Structured answers to the specific questions your audience is asking. Clear entity relationships - who you are, what you do, where you operate - expressed in ways that are machine-readable as well as human-readable. Content that does not just rank for a topic but explicitly addresses the comparison questions, use-case questions, and decision-stage queries that AI systems are increasingly fielding on behalf of users.
For UK businesses, there is also a localisation dimension that generic AI visibility guidance often misses. Queries that include UK-specific context, regulatory references, or regional intent require content that is explicitly grounded in UK context - not just anglicised American content. That specificity matters for both AI Overviews and for citation by tools like Perplexity.
How to Read Google's Claim as a Strategist
Google has commercial reasons to simplify its guidance. A message that says 'just do good SEO and we'll handle the rest' is reassuring to the market and positions Google as a manageable platform. A message that says 'you need entirely new disciplines to stay visible' creates anxiety and potentially drives advertisers towards paid formats.
Neither motivation makes the claim wrong, but both are worth holding in mind. Google's guidance reflects Google's interests as well as its engineering reality. Marketers should take the signal seriously - strong SEO genuinely does underpin AI Overviews performance - without treating it as a complete answer to AI visibility strategy.
The practical position is this: you cannot skip the fundamentals and hope that GEO tactics will carry you. But you also cannot do fundamentals alone and expect full, accurate representation across the expanding set of AI surfaces where your audience is now looking. Both are true. The brands that treat them as either/or will underperform the ones that treat them as complementary.
The Audit Question This Raises
If you have not recently tested how your brand appears across Google AI Overviews, ChatGPT, and Perplexity for your core queries, now is a useful moment to do so. Not because Google's claim is wrong, but because the gap between 'we rank well in organic' and 'we are cited accurately in AI responses' is often larger than marketers expect.
Run your most commercially important queries through each platform. Note where you appear, how you are described, what competitors are cited instead of you, and whether the information about your brand is accurate and current. That exercise will tell you more about your actual AI visibility position than any single platform's guidance on how its algorithm works.